Aniruddha Bora Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
John Brown University
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Biography and Research Information
OverviewAI-generated summary
Aniruddha Bora is an Assistant Professor at John Brown University whose research encompasses a diverse range of computational and mathematical modeling techniques, including advanced graph neural networks and model reduction strategies. Bora's work addresses complex problems in heat transfer, optimization, meteorological phenomena, and climate modeling. He has published on neural network methods for solving heat conduction problems in thin films and has also explored physics-informed deep neural operator networks. His recent work includes the characterization and inverse design of stochastic mechanical metamaterials using neural operators.
His primary research interests lie in applying neural networks and other advanced computational methods to enhance our understanding of physical systems and climate-related phenomena.
Metrics
- h-index: 6
- Publications: 27
- Citations: 197
Selected Publications
- Inception UNet (IUNet) and Multi-scale Multi-branch (M&M) UNet Plug-In Neural Operators for Online Bias Correction in E3SM (2026) DOI
- Code and Data for "Learning Turbulent Flows with Generative Models for Super Resolution and Sparse Flow Reconstruction" (2025) DOI
- Code and Data for "Learning Turbulent Flows with Generative Models for Super Resolution and Sparse Flow Reconstruction" (2025) DOI
- Integrating neural operators with diffusion models improves spectral representation in turbulence modelling (2025) DOI
- Transformerg2g: Adaptive Time-Stepping for Learning Temporal Graph Embeddings Using Transformers (2023) DOI
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